Seung Kim - Publications

Affiliations: 
Stanford University, Palo Alto, CA 

6 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Moon JH, Kim H, Kim H, Park J, Choi W, Choi W, Hong HJ, Ro HJ, Jun S, Choi SH, Banerjee RR, Shong M, Cho NH, Kim SK, German MS, et al. Lactation improves pancreatic β cell mass and function through serotonin production. Science Translational Medicine. 12. PMID 32350130 DOI: 10.1126/Scitranslmed.Aay0455  0.482
2020 Kim S, Whitener RL, Peiris H, Gu X, Chang CA, Lam JY, Camunas-Soler J, Park I, Bevacqua RJ, Tellez K, Quake SR, Lakey JRT, Bottino R, Ross PJ, Kim SK. Molecular and genetic regulation of pig pancreatic islet cell development. Development (Cambridge, England). PMID 32108026 DOI: 10.1242/Dev.186213  0.334
2019 Moon JH, Kim YG, Kim K, Osonoi S, Wang S, Saunders DC, Wang J, Yang K, Kim H, Lee J, Jeong JS, Banerjee RR, Kim SK, Wu Y, Mizukami H, et al. Serotonin Regulates Adult β-Cell Mass by Stimulating Perinatal β-Cell Proliferation. Diabetes. PMID 31806625 DOI: 10.2337/Db19-0546  0.483
2018 DAI X, SOLER JC, BRIANT L, SPIGELMAN AF, HANG Y, RORSMAN P, KIM S, MACDONALD P. Pancreatic Alpha-Cell Function and Identity in Human T2D Diabetes. 67: 315-LB. DOI: 10.2337/Db18-315-Lb  0.314
2016 Banerjee RR, Cyphert HA, Walker EM, Chakravarthy H, Peiris H, Gu X, Liu Y, Conrad E, Goodrich L, Stein RW, Kim SK. Gestational diabetes from inactivation of prolactin receptor and MafB in islet β-cells. Diabetes. PMID 27217483 DOI: 10.2337/Db15-1527  0.482
2015 Galivo F, Benedetti E, Wang Y, Lee J, Schug J, Kim S, Kaestner K, Grompe M. 274. Expansion and Conversion of Patient-Derived Human Gallbladder Cells Into Insulin-Producing Pancreatic Endocrine-Like Type Cells Molecular Therapy. 23: S109-S110. DOI: 10.1016/S1525-0016(16)33883-7  0.311
Show low-probability matches.